Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Systematic Literature Review of Explainable AI for Software Engineering
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2302.06065.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:28:45.593432Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T17:46:41.902400Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 95a60a8b-3185-4807-a270-06af652df66b · inbound
Explainable Artificial Intelligence Techniques for Software Development Lifecycle: A Phase-specific Survey cites this paper.
Explainable Artificial Intelligence Techniques for Software Development Lifecycle: A Phase-specific Survey A Systematic Literature Review of Explainable AI for Software Engineering
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:28:45.593432Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2098201-0f82-48be-bc12-b61697caad38 · inbound
Minimal Data, Maximum Clarity: A Heuristic for Explaining Optimization cites this paper.
Minimal Data, Maximum Clarity: A Heuristic for Explaining Optimization A Systematic Literature Review of Explainable AI for Software Engineering
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T17:46:41.906112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 75bad484-957b-407a-ad47-549c341a2c19 · inbound
A Preliminary Study on Explaining Risk of Code Changes using LLM-Based Prediction Models cites this paper.
A Preliminary Study on Explaining Risk of Code Changes using LLM-Based Prediction Models A Systematic Literature Review of Explainable AI for Software Engineering
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T07:05:03.545756Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.